Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks
Language: English
Published by The MIT Press, Cambridge, Massachusetts, USA, 1996
- First Edition
- Hardcover
- Used
Seller: Sarah Zaluckyj, KINGTON, United KingdomSarah Zaluckyj
AbeBooks seller since April 2, 2002
Condition: Used - Very good
£ 22.00
Quantity: 1 available
Add to basketItem description from seller
239 pages incl. index and appendix. Dustjacket has light darkening to white surfaces, one 6mm nick/crease to top rear (taped), very light wear/slight creases to spine-ends. Book has slight wear to corners/spine-ends, slight lightening to edges. B&W diagrams. Text is very clean and little used.
Seller Inventory # 042257
- Title
- Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks
- Author
- Dowla, Farid U.; Rogers, Leah L.
- Publisher
- The MIT Press, Cambridge, Massachusetts, USA
- Publication year
- 1996
- Condition
- Very Good ++
- Dust jacket
- Dustjacket Very Good ++
- Binding
- Hard Back/Hard Cover
- Language
- English
- ISBN 10
- 0262041480
- ISBN 13
- 9780262041485
- Edition
- First American Edition
- Dimensions
- 10 1/4" Tall By 7 1/4" Wide
Farid Dowla and Leah Rogers have developed a number of ANN applications for researchers and students in hydrology and seismology. This book, complete with exercises and ANN algorithms, illustrates how ANNs can be used in solving problems in environmental engineering and the geosciences, and provides the necessary tools to get started using these elegant and efficient new techniques.
Following the development of four primary ANN algorithms (backpropagation, self-organizing, radial basis functions, and hopfield networks), and a discussion of important issues in ANN formulation (generalization properties, computer generation of training sets, causes of slow training, feature extraction and preprocessing, and performance evaluation), readers are guided through a series of straightforward yet complex illustrative problems. These include groundwater remediation management, seismic discrimination between earthquakes and underground explosions, automated monitoring for acoustic and seismic sensor data, estimation of seismic sources, geospatial estimation, lithologic classification from geophysical logging, earthquake forecasting, and climate change. Each chapter contains detailed exercises often drawn from field data that use one or more of the four primary ANN algorithms presented.
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About the Author
"About the title" may belong to another edition of this title.
Sarah Zaluckyj
KINGTON, United Kingdom
AbeBooks seller since April 2, 2002
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